CodeSee, founded in 2019, embarked on a mission to aid programmers in comprehending the intricacies of a company’s entire code base.
Their vision involved providing visual maps that illustrate connections between various services and systems, facilitating a deeper understanding of how changes impact different links.
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Now, the company has unveiled a groundbreaking addition to their platform—a generative AI capability that enables users to interact with the code using natural language.
Shanea Leven, co-founder, and CEO of CodeSee, expressed her excitement about the integration of generative AI.
She emphasized that while the fundamental goals and applications of CodeSee remain unchanged, the AI empowers a heightened insight into how individuals grasp and understand code.
According to her, collaborating with Microsoft and OpenAI, CodeSee efficiently developed this new functionality without significantly expanding its lean team of 11 employees.
The generative AI feature functions as an interactive tool within an Integrated Development Environment (IDE).
Users can ask questions like how logging operates or how state management is utilized in the code base.
CodeSee, in response, provide such queries with a text-based answer accompanied by a code map.
This map visually illustrates the connections among different components of the code base, directly addressing the user’s query.
Leven explained the benefits of generative AI extension, stating that users can delve deeply into specific aspects of the code and quickly access the relevant files and functions in their IDE.
This context-driven approach enhances the existing capabilities of CodeSee, elevating it to an intelligent and indispensable resource for programmers.
Notably, CodeSee’s partnership with Microsoft and OpenAI proved instrumental in expediting the development of the generative AI functionality.
By leveraging external expertise, CodeSee efficiently delivered the feature without a prolonged hiring process.
Additionally, CodeSee introduced service maps, providing businesses with a comprehensive view of multiple code bases.
This high-level architecture overview enables enterprises to gain invaluable insights into their systems, including endpoints, message queues, and Kafka pipelines.
With an ever-expanding array of offerings geared toward offering greater clarity about code bases, the AI-based question engine is poised to be a game-changer for CodeSee’s customers.
Leven revealed that the generative AI feature will initially be available in beta upon request, allowing the company to collaborate with enterprise customers for feedback and refinement before its general release later in the year.
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As CodeSee continues to provide programmers with innovative solutions, the addition of generative AI marks a significant step forward in their pursuit of simplifying code comprehension.
It will further help to foster a more efficient and effective programming ecosystem.
